CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison. - Jeremy Irvin; Pranav Rajpurkar; Michael Ko; Yifan Yu 005; Silviana Ciurea-Ilcus; Christopher Chute; Henrik Marklund; Behzad Haghgoo; Robyn L. Ball; Katie S. Shpanskaya; Jayne Seekins; David A. Mong; et al. (AAAI, 2019)

Human-machine partnership with artificial intelligence for chest radiograph diagnosis. - Bhavik N. Patel; Louis B. Rosenberg; Gregg Willcox; David Baltaxe; Mimi Lyons; Jeremy Irvin; Pranav Rajpurkar; Timothy Amrhein; Rajan Gupta; Safwan Halabi; Curtis P. Langlotz; Edward Lo; et al. (npj Digit. Medicine, 2019)

Author Correction: Human-machine partnership with artificial intelligence for chest radiograph diagnosis. - Bhavik N. Patel; Louis B. Rosenberg; Gregg Willcox; David Baltaxe; Mimi Lyons; Jeremy Irvin; Pranav Rajpurkar; Timothy Amrhein; Rajan Gupta; Safwan Halabi; Curtis P. Langlotz; Edward Lo; et al. (npj Digit. Medicine, 2019)

Deep COVID DeteCT: an international experience on COVID-19 lung detection and prognosis using chest CT. - Edward H. Lee; Jimmy Zheng; Errol Colak; Maryam Mohammadzadeh; Golnaz Houshmand; Nicholas Bevins; Felipe Kitamura; Emre Altinmakas; Eduardo Pontes Reis; Jae-Kwang Kim; Chad Klochko; Michelle Han; et al. (npj Digit. Medicine, 2021)

Benchmarking saliency methods for chest X-ray interpretation. - Adriel Saporta; Xiaotong Gui; Ashwin Agrawal; Anuj Pareek; Steven Q. H. Truong; Chanh D. T. Nguyen; Van Doan Ngo; Jayne Seekins; Francis G. Blankenberg; Andrew Y. Ng; Matthew P. Lungren; Pranav Rajpurkar (Nat. Mac. Intell., 2022)